November 24, 2019

Here is a useful roundup of information for those interested in machine learning. Forbes presents a thorough collection of observations, citing several different sources, about the impact of deep learning on the AI field in, “Amazon Saw 15-Fold Jump in Forecast Accuracy with Deep Learning and Other AI Stats.” As the title indicates, under the heading AI Business Impact, writer Gil Press reports:

“When Amazon switched from traditional machine learning techniques to deep learning in 2015, it saw a 15-fold increase in the accuracy of its forecasts, a leap that has enabled it to roll-out its one-day Prime delivery guarantee to more and more geographies; MasterCard has used AI to cut in half the number of times a customer has their credit card transaction erroneously declined, while at the same time reducing fraudulent transactions by about 40%; and using predictive analytics to spot cyber attacks and waves of fraudulent activity by organized crime groups helped Mastercard’s customers avoid some $7.5 billion worth of damage from cyberattacks in just the past 10 months [Fortune]”

A couple other examples under AI Business Impact include the Press Association’s RADAR news service, which generated 50,000 local news stories in three months with the help of but six human reporters; and the Rotterdam Roy Dutch Shell refinery’s sensor data analysis that helped them avoid spending about $2 million in maintenance trips.

Press arranges the rest of his AI information into several more headings: AI Business Adoption, where we learn nearly all respondents to an IFS survey of business leaders have plans to implement AI functionality; AI Consumer Attitudes, where he tells us a pessimistic 10% of Mozilla-surveyed consumers think AI will make our lives worse; AI Research Results, under which is reported that AI can now interpret head CT scans as well as a highly trained radiologist; AI Venture Capital Investments; AI Market Forecasts; and AI Quotable Quotes. The article concludes with this noteworthy quotation:

“‘To make deliberate progress towards more intelligent and more human-like artificial systems… we need to be able to define and evaluate intelligence in a way that enables comparisons between two systems, as well as comparisons with humans’—Francois Chollet

We recommend interested readers check out the article for its many more details.

Cynthia Murrell, November 22, 2019


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